{"product_id":"introduction-of-geometric-algebra-for-machine-learning-and-data-science-a-unified-geometric-framework-for-modern-learning-systems-hardcover","title":"Introduction of Geometric Algebra for Machine Learning and Data Science: A Unified Geometric Framework for Modern Learning Systems - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eSandi Setiawan\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eWhat if machine learning could be understood geometrically?\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book presents a unified geometric perspective on machine learning, statistics, and data science through the language of geometric algebra.\u003c\/p\u003e\u003cp\u003eFrom linear models and principal component analysis to neural networks, attention mechanisms, and time series systems, modern methods are reinterpreted as geometric transformations in n-dimensional spaces.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eRather than treating techniques as isolated tools, this book reveals the common structure underlying them: movement, orientation, and shape.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e- Connects machine learning methods through geometry\u003c\/p\u003e\u003cp\u003e - Covers PCA, neural networks, attention, and time series\u003c\/p\u003e\u003cp\u003e - Includes PyTorch implementations\u003c\/p\u003e\u003cp\u003e - Bridges theory and real-world applications\u003c\/p\u003e\u003cp\u003e - Emphasizes intuition over formalism\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 240\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.56 x 11 x 8.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e May 06, 2026\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":53376902168883,"sku":"9798295882890","price":55.58,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/oOmXPw4qMr9798295882890.webp?v=1781933020","url":"https:\/\/www.vysn.com\/en-ca\/products\/introduction-of-geometric-algebra-for-machine-learning-and-data-science-a-unified-geometric-framework-for-modern-learning-systems-hardcover","provider":"VYSN","version":"1.0","type":"link"}